What is the ordinary Least square method in Machine Learning

OLS or Ordinary Least Squares is a method used in Linear Regression for estimating the unknown parameters by creating a model which will minimize the sum of the squared errors between the observed data and the predicted one.

Ordinary Least Squares method works for both univariate dataset which means single independent variables and single dependent variables and multi-variate dataset which contains a single independent variable set and multiple dependent variables sets. Ordinary Least Squares method requires a machine learning algorithm called “Gradient Descent”.